Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 43,181 to 43,190 of 223,853 articles

Use of artificial intelligence for health science in low- and middle-income countries: NIH portfolio landscape, gaps and opportunities.

BMJ open
OBJECTIVES: To analyse the landscape of active US National Institutes of Health (NIH) artificial intelligence (AI) health research grants, with emphasis on studies conducted in low- and middle-income countries (LMICs), to characterise use cases, heal... read more 

Non-contact monitoring in neonatology.

Zeitschrift fur Geburtshilfe und Neonatologie
To present and critically evaluate current contactless monitoring modalities - infrared thermography (IRT), photoplethysmography imaging (PPGI), ballistocardiography (BCG), radar-based techniques, seismocardiography - in neonatology and to assess the... read more 

Quantification of Ki-67 labeling index in pediatric brain tumor immunohistochemistry images.

Journal of neuropathology and experimental neurology
Quantification of the Kiel 67 (Ki-67) labeling index (LI) is critical for assessing proliferation and prognosis in tumors but manual scoring remains a common practice. We present an automated framework for Ki-67 scoring in whole slide images (WSIs) d... read more 

Clinical and pathologic correlations of machine learning quantification of Aβ deposits across 3 brain regions of decedents with Alzheimer disease.

Journal of neuropathology and experimental neurology
Machine learning enables scalable quantification of neuropathology, offering deeper phenotyping of Alzheimer's disease (AD). In this validation study, we quantified amyloid-beta (Aβ) deposits, evaluating multiple brain regions across institutions, an... read more 

Artificial intelligence for detecting orthodontic root resorption: A systematic review and meta-analysis of diagnostic accuracy.

Journal of the World federation of orthodontists
BACKGROUND: External root resorption (ERR) and external cervical resorption (ECR) are common orthodontic complications with prognostic impact. Early, accurate detection helps prevent irreversible damage. OBJECTIVES: Our objective is to synthesize dia... read more 

Applications for the YOLO deep learning framework in dentistry: A narrative review.

Journal of prosthodontic research
PURPOSE: This narrative review aims to provide dental professionals and researchers with a comprehensive overview of YOLO applications in dentistry. STUDY SELECTION: A narrative review approach was used in this study. Literature relevant to YOLO mode... read more 

A targeted proteomics assay for the preoperative diagnosis of thyroid nodules.

Cell reports. Medicine
Accurate preoperative diagnosis of thyroid nodules via fine-needle aspiration (FNA) biopsy remains challenging, particularly in cases with indeterminate cytology. This prospective, noninterventional, blinded, multicenter study establishes ThyroProt, ... read more 

Emerging strategies for computational identification of protein-protein interaction hotspots.

Current opinion in structural biology
A small number of residues at protein-protein interfaces, commonly referred to as hotspots, dominate binding free energy and play a decisive role in stabilizing protein complexes. Identifying these residues is central to understanding the energetic a... read more 

Integrative modeling with AlphaFold.

Current opinion in structural biology
Macromolecular assemblies underpin essential cellular processes, yet their structural characterization remains challenging. Integrative modeling provides an approach for determining structures of macromolecular assemblies, combining diverse experimen... read more 

A deep reinforcement learning algorithm for optimizing safety and efficiency of traffic signals using traffic conflict technique and artificial intelligence-based video analytics.

Accident; analysis and prevention
The advancements in computer vision have opened doors to estimate crash risks in real-time and revisit traffic signal systems to optimize safety and efficiency within a unified framework. While the efficiency reward can be based on operational charac... read more